| P2093 | author name string | Robert Bergquist | |
| P2860 | cites work | Poultry, pig and the risk of BSE following the feed ban in France--a spatial analysis | Q44901164 |
| | Hosts and habitats of Trichinella spiralis and Trichinella britovi in Europe. | Q46426015 |
| | Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies. | Q50520464 |
| | A national facility for small area disease mapping and rapid initial assessment of apparent disease clusters around a point source: the UK Small Area Health Statistics Unit. | Q50652825 |
| | The epidemiology and small-scale spatial heterogeneity of urinary schistosomiasis in Lusaka province, Zambia. | Q51674589 |
| | Multivariate spatially-structured variability of ovine helminth infections. | Q51681948 |
| | Spatial statistical modeling of disease outbreaks with particular reference to the UK foot and mouth disease (FMD) epidemic of 2001. | Q51963641 |
| | Bayesian hierarchical modelling to enhance the epidemiological value of abattoir surveys for bovine fasciolosis. | Q51963642 |
| | Modeling the transmission of Echinococcus granulosus and Echinococcus multilocularis in dogs for a high endemic region of the Tibetan plateau. | Q51977923 |
| | Exploratory disease mapping: kriging the spatial risk function from regional count data | Q24806534 |
| | Estimating the temporal and spatial risk of bluetongue related to the incursion of infected vectors into Switzerland | Q27487214 |
| | Towards improved diagnosis of zoonotic trematode infections in Southeast Asia | Q28287833 |
| | The use of Markov chain Monte Carlo for analysis of correlated binary data: patterns of somatic cells in milk and the risk of clinical mastitis in dairy cows. | Q30953537 |
| | Climate change and vector-borne diseases | Q31038737 |
| | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China | Q31169735 |
| | Climate and Dirofilaria infection in Europe | Q33435751 |
| | The Small Area Health Statistics Unit: a national facility for investigating health around point sources of environmental pollution in the United Kingdom | Q33701136 |
| | Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis | Q33904214 |
| | GeoCREV: veterinary geographical information system and the development of a practical sub-national spatial data infrastructure | Q33904232 |
| | The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections | Q34039040 |
| | New perspectives on the use of Geographical Information Systems (GIS) in environmental health sciences | Q34663492 |
| | Spatio-temporal analysis of the role of climate in inter-annual variation of malaria incidence in Zimbabwe | Q34803831 |
| | Drivers for the emergence and re-emergence of vector-borne protozoal and bacterial diseases. | Q36242444 |
| | Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007. | Q36469304 |
| | New insights into the application of geographical information systems and remote sensing in veterinary parasitology | Q37237503 |
| | Health research based on geospatial tools: a timely approach in a changing environment | Q37591535 |
| | Integrated disease mapping in a polyparasitic world | Q38922250 |
| | Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania | Q38976209 |
| | A spatial statistical approach to malaria mapping | Q39140459 |
| | Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases | Q39489476 |
| | Rift Valley fever in a zone potentially occupied by Aedes vexans in Senegal: dynamics and risk mapping | Q39560537 |
| | Disease mapping in veterinary epidemiology: a Bayesian geostatistical approach | Q39764407 |
| | Spatial and temporal patterns of occurrence of Lutzomyia sand fly species in an endemic area for cutaneous leishmaniasis in the Atlantic Forest region of northeast Brazil. | Q39776082 |
| | Spatiotemporal change and ecological modelling of malaria in Turkey by means of geographic information systems | Q39831482 |
| | An early warning system for Crimean-Congo haemorrhagic fever seasonality in Turkey based on remote sensing technology. | Q40062091 |
| | Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys | Q40062095 |
| | Dynamics of dengue epidemics in urban contexts | Q40407766 |
| | Mathematical and computational challenges in population biology and ecosystems science | Q41309773 |
| | Study on the movement of Rattus rattus and evaluation of the plague dispersion in Madagascar | Q41435301 |
| | Spatiotemporal modelling and mapping of the bubonic plague epidemic in India. | Q41454712 |
| | Modelling the spatial distribution of Echinococcus multilocularis infection in foxes | Q43430928 |
| | Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009. | Q43549564 |
| | Is heartworm disease really spreading in Europe? | Q44164615 |
| P433 | issue | 7 | |
| P921 | main subject | epidemiology | Q133805 |
| P1104 | number of pages | 9 | |
| P304 | page(s) | 892-900 | |
| P577 | publication date | 2011-11-01 | |
| P1433 | published in | Memórias do Instituto Oswaldo Cruz | Q15760238 |
| P1476 | title | New tools for epidemiology: a space odyssey | |
| P478 | volume | 106 | |